An ontology-based data integration framework for construction information management

Akinyemi, Abiodun; Sun, Ming; Gray, Alasdair J. G.

doi:10.1680/jmapl.17.00052

Cited by 8 publications

(4 citation statements)

References 50 publications

(62 reference statements)

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“…Also, it can reduce the time and cost spent in visiting multiple authorities (Meacham et al 2019). Besides, (Akinyemi et al 2018) revealed in their study that leveraging information integration technologies in construction sector can be beneficial as reveals that by adopting online web technologies can make substantial savings in time when compared to traditional information management approach. The process time using electronic permitting system for construction projects can be slashed up to 25 days (Shahi 2018).…”

Section: Literatures Reviewmentioning

confidence: 99%

Governmental Stakeholders Impact on Construction Projects in Oman

et al. 2020

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Organizations and companies who are working on construction sector within Oman are suffering from running into the bureaucracy process which established within the governmental stakeholders to obtain approvals and permissions like NOCs (No Objection Certificates). The objectives of this Research are to identify the impact of governmental stakeholders on delaying projects completion as a result of lengthy process of granting NOCs and subsequently design a platform which will guarantee a flat process for approaching information and issuing approvals. Three research methodologies have been implemented in this study. The first one was a quantitative where questionnaire distributed to selective personnel who are working in construction project environment and representing different local companies. The second one was a qualitative method where interviews with project managers, senior engineers and leaders in the construction field has been conducted to understand the impact caused by long approval process in their projects’ lifecycle. The third one was an expert system where an online platform is developed and sought to expedite the approvals process from governmental stakeholders and accordingly evaluate the compatibility and reliability of the system through selective personnel from the construction sector. The expected outcomes of this study are to achieve a solution with an aim at speeding up issuing NOCs and approvals obtainment as well as diminishing the needless processes practiced by governmental stakeholders in the built environment within Oman.

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Section: Literatures Reviewmentioning

confidence: 99%

Governmental Stakeholders Impact on Construction Projects in Oman

et al. 2020

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“…Conceptual [27], [28], [29], [30], [31], [32] [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43], [44], [45] 70% Empirical [46], [47], [48], [49], [50], [51] [52], [53] 30% Share 56% 44%…”

Section: Has Methods Chapter No Methods Chapter Sharementioning

confidence: 99%

Information Management in AEC Projects: A Study of Applied Research Approaches

Fürstenberg

2020

Lecture Notes in Civil Engineering

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Using the potential that lies within digital transformation seems to be a promising response to reverse the traditional low productivity within the AEC (Architecture, Engineering and Construction) industry. One possible approach to the digital transformation of this industry has been identified as increased and effective use of information in projects. Since only structured information can create value, information management is necessary. This paper provides a systematic overview of the available research on information management in AEC projects with the focus on research approaches. 27 papers were thoroughly analyzed and showed that researchers often give little attention to a detailed description of their research approach. An interpretative/constructivist and pragmatic worldview seems to dominate. The observed research purpose was mainly explorative-descriptive which suggests that information management in AEC projects is a rather young field of research. The most common observed research methods are qualitative and design. Data is mainly collected by case studies and software prototypes are presented as artefacts. Most analyzed papers were conceptual and therefore no data analysis was needed. Whereas the most used method of data analysis for empirical papers was statistical. More empirical evidence through case studies of information management and especially the testing of proposed frameworks and prototypes in real-world projects seems urgent.

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“…Besides providing formal domain knowledge representation, another use of ontologies in the construction domain is to address the problem of data integration [42][43][44]. Information heterogeneity remains a common domain issue [45] and has huge effects on establishing the digital twin construction (DTC).…”

Section: Ontology and Digital Twin Constructionmentioning

confidence: 99%

Ontology-Based Semantic Construction Image Interpretation

Zheng,

Khalid Masood,

Seppänen

et al. 2023

Buildings

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Image-based techniques have become integral to the construction sector, aiding in project planning, progress monitoring, quality control, and documentation. In this paper, we address two key challenges that limit our ability to fully exploit the potential of images. The first is the “semantic gap” between low-level image features and high-level semantic descriptions. The second is the lack of principled integration between images and other digital systems used in construction, such as construction schedules and building information modeling (BIM). These challenges make it difficult to effectively incorporate images into digital twins of construction (DTC), a critical concept that addresses the construction industry’s need for more efficient project management and decision-making. To address these challenges, we first propose an ontology-based construction image interpretation (CII) framework to formalize the interpretation and integration workflow. Then, the DiCon-SII ontology is developed to provide a formalized vocabulary for visual construction contents and features. DiCon-SII also acts as a bridge between images and other digital systems to help construct an image-involved DTC. To evaluate the practical application of DiCon-SII and CII in supporting construction management tasks and as a precursor to DTC, we conducted a case study involving drywall installation. Via this case study, we demonstrate how the proposed methods can be used to infer the operational stage of a construction process, estimate labor productivity, and retrieve specific images based on user queries.

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An ontology-based data integration framework for construction information management

Cited by 8 publications

References 50 publications

Governmental Stakeholders Impact on Construction Projects in Oman

Governmental Stakeholders Impact on Construction Projects in Oman

Information Management in AEC Projects: A Study of Applied Research Approaches

Ontology-Based Semantic Construction Image Interpretation

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